Literature DB >> 16779006

Architectural quality criteria for hospital information systems.

Birgit Brigl1, Gudrun Hübner-Bloder, Thomas Wendt, Reinhold Haux, Alfred Winter.   

Abstract

An important part of hospital information systems (HIS) evaluation is the quality assessment of its architecture, i.e. the structure of its IT infrastructure. Therefore, quantitative architectural quality criteria are needed. On the basis of relevant architectural components of a HIS defined by 3LGM2, the following quality criteria were defined: functional redundancy, functional under-saturation, functional correspondence, informational redundancy, degree of heterogeneity and degree of computer-support. These quality criteria were implemented as part of the 3LGM2 tool, a modelling tool to create 3LGM2 conformant HIS models. For every 3LGM2 model and its components the relevant quality criteria are automatically calculated and presented. The defined quality criteria can be used for several information management purposes. Nevertheless they are not intended to make absolute statements about the HIS quality. To ensure their expressiveness, complete and consistent underlying 3LGM2 models are needed.

Mesh:

Year:  2005        PMID: 16779006      PMCID: PMC1560799     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  10 in total

1.  Strategic information management plans: the basis for systematic information management in hospitals.

Authors:  A F Winter; E Ammenwerth; O J Bott; B Brigl; A Buchauer; S Gräber; A Grant; A Häber; W Hasselbring; R Haux; A Heinrich; H Janssen; I Kock; O S Penger; H U Prokosch; A Terstappen; A Winter
Journal:  Int J Med Inform       Date:  2001-12       Impact factor: 4.046

2.  Evaluation in the design of health information systems: application of approaches emerging from usability engineering.

Authors:  Andre Kushniruk
Journal:  Comput Biol Med       Date:  2002-05       Impact factor: 4.589

3.  Modeling hospital information systems. Part 1: The revised three-layer graph-based meta model 3LGM2.

Authors:  A Winter; B Brigl; T Wendt
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

4.  Methodology for evaluating physician order entry (POE) implementations.

Authors:  Glen Geiger; Yaron D Derman
Journal:  J Eval Clin Pract       Date:  2003-11       Impact factor: 2.431

5.  When and how to evaluate health information systems?

Authors:  Jeremy C Wyatt; Sylvia M Wyatt
Journal:  Int J Med Inform       Date:  2003-03       Impact factor: 4.046

6.  Immediate benefits realized following implementation of physician order entry at an academic medical center.

Authors:  Hagop S Mekhjian; Rajee R Kumar; Lynn Kuehn; Thomas D Bentley; Phyllis Teater; Andrew Thomas; Beth Payne; Asif Ahmad
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

7.  Modeling Hospital Information Systems (Part 2): using the 3LGM2 tool for modeling patient record management.

Authors:  T Wendt; A Häber; B Brigl; A Winter
Journal:  Methods Inf Med       Date:  2004       Impact factor: 2.176

8.  Outcome measures in clinical information systems evaluation.

Authors:  Nancy K Roderer
Journal:  Stud Health Technol Inform       Date:  2004

9.  Preparing strategic information management plans for hospitals: a practical guideline SIM plans for hospitals: a guideline.

Authors:  B Brigl; E Ammenwerth; C Dujat; S Gräber; A Grosse; A Häber; C Jostes; A Winter
Journal:  Int J Med Inform       Date:  2005-01       Impact factor: 4.046

10.  Leveraging information technology towards enhancing patient care and a culture of safety in the US.

Authors:  M J Ball; D E Garets; T J Handler
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

  10 in total

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